Method Guides
Comprehensive tutorials on longitudinal analysis methods with simulated data examples.
📈
Growth Models
Model change trajectories over time using latent growth curves
Latent Growth Curve Models
Model individual trajectories over time using SEM-based growth curves.
🔀
Mixed Models
Account for nested data structure with fixed and random effects
Linear Mixed Models
Model individual trajectories while accounting for the nested structure of longitudinal data.
🚧
Coming Soon
Additional method guides in development
Coming Soon
Generalized Linear Mixed Models (GLMM)
Mixed-effects models for non-normal outcomes including binary, count, and categorical data.
Coming Soon
Generalized Estimating Equations (GEE)
Population-averaged models for correlated data with robust standard errors.
Coming Soon
Latent Change Score Models (LCS)
Structural equation models for examining true change over time while accounting for measurement error.